Cargando…
Towards an Optimized Ensemble Feature Selection for DDoS Detection Using Both Supervised and Unsupervised Method †
With recent advancements in artificial intelligence (AI) and next-generation communication technologies, the demand for Internet-based applications and intelligent digital services is increasing, leading to a significant rise in cyber-attacks such as Distributed Denial-of-Service (DDoS). AI-based Do...
Autores principales: | Saha, Sajal, Priyoti, Annita Tahsin, Sharma, Aakriti, Haque, Anwar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736512/ https://www.ncbi.nlm.nih.gov/pubmed/36501845 http://dx.doi.org/10.3390/s22239144 |
Ejemplares similares
-
KS-DDoS: Kafka streams-based classification approach for DDoS attacks
por: Patil, Nilesh Vishwasrao, et al.
Publicado: (2022) -
SSK-DDoS: distributed stream processing framework based classification system for DDoS attacks
por: Patil, Nilesh Vishwasrao, et al.
Publicado: (2022) -
DDoS attacks hit hard and fast
Publicado: (2020) -
DDoS Flood and Destination Service Changing Sensor
por: Hsu, Fu-Hau, et al.
Publicado: (2021) -
Design and analysis of DDoS mitigating network architecture
por: Swati, et al.
Publicado: (2022)